You can download the data file here: Leonardo.csv
As an experienced allesfitter, the team asks you to model the signal. You see that the lightcurve has some red noise throughout, and some nasty scattered light on days 20-23, but that won’t stop you. The discovery report gives you a first guess for the transit signal:
Epoch: 1.09 +- 0.01 days after start of observations
Period: 3.41 +- 0.01 days
R_planet / R_star: 0.10 +- 0.01
(R_star + R_planet) / semi-major axis: somewhere between 0.1 and 0.3
This time you also have received stellar parameters from Gaia DR2 and SED models:
R_star: 1.00+-0.01 R_sun
M_star: 1.00+-0.01 M_sun
T_eff: 5700+-100 K
(weird coincidence, right?)
Now, time to launch the GUI again and fill in those fields -- or simply download the params.csv and settings.csv from GitHub and have look! Feel free to experiment with some settings this time. Maybe use a simpler, linear limb darkening model? Or use Nested Sampling instead of MCMC?
Once you successfully fitted this data set, move on to the next tutorial to learn how to use GPs to deal with red noise.